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https://github.com/LLNL/blt

A streamlined CMake build system foundation for developing HPC software
https://github.com/LLNL/blt

blt build-system build-tools cmake cpp cuda hpc radiuss testing

Last synced: 2 months ago
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A streamlined CMake build system foundation for developing HPC software

Host: GitHub
URL: https://github.com/LLNL/blt
Owner: LLNL
License: bsd-3-clause
Created: 2017-02-28T21:59:28.000Z (almost 8 years ago)
Default Branch: develop
Last Pushed: 2024-10-21T16:35:27.000Z (3 months ago)
Last Synced: 2024-10-22T05:09:55.131Z (3 months ago)
Topics: blt, build-system, build-tools, cmake, cpp, cuda, hpc, radiuss, testing
Language: C++
Homepage:
Size: 6.53 MB
Stars: 259
Watchers: 24
Forks: 60
Open Issues: 123
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE-OF-CONDUCT.md

Awesome Lists containing this project

README

        # 

[![Build

Status](https://dev.azure.com/llnl-blt/blt/_apis/build/status/LLNL.blt?branchName=develop)](https://dev.azure.com/llnl-blt/blt/_build/latest?definitionId=1&branchName=develop)

[![Documentation Status](https://readthedocs.org/projects/llnl-blt/badge/?version=develop)](https://llnl-blt.readthedocs.io/en/develop/?badge=develop)

BLT is a streamlined [CMake](https://cmake.org)-based foundation for

Building, Linking and Testing large-scale high performance computing (HPC) applications.

BLT makes it easy to get up and running on a wide range of HPC compilers,

operating systems and technologies:

 * Compiler families:

      [gcc](https://gcc.gnu.org),

      [clang](https://clang.llvm.org),

      [Intel](https://software.intel.com/en-us/compilers),

      [XL](https://www.ibm.com/us-en/marketplace/ibm-c-and-c-plus-plus-compiler-family),

      [Visual Studio](https://visualstudio.microsoft.com/vs/features/cplusplus)

 * Operating systems:

      Linux,

      Mac OS,

      Windows

 * HPC programming models:

      [MPI](https://www.mpi-forum.org/),

      [OpenMP](https://www.openmp.org/),

      [CUDA](https://developer.nvidia.com/cuda-zone),

      [HIP](https://gpuopen.com/compute-product/hip-convert-cuda-to-portable-c-code)

 * Unit testing and benchmarking (built-in):

      [Google Test (gtest and gmock)](https://github.com/google/googletest),

      [FRUIT](https://sourceforge.net/projects/fortranxunit),

      [gbenchmark](https://github.com/google/benchmark)

 * Documentation:

      [Doxygen](http://www.doxygen.nl/),

      [Sphinx](http://www.sphinx-doc.org)

 * Code style:

      [AStyle](http://astyle.sourceforge.net),

      [ClangFormat](https://clang.llvm.org/docs/ClangFormat.html),

      [cmake-format](https://github.com/cheshirekow/cmake_format),

      [Uncrustify](http://uncrustify.sourceforge.net),

      [YAPF (Yet Another Python Formatter)](https://github.com/google/yapf)

 * Code quality

      [clang-query](http://clang.llvm.org/docs/LibASTMatchers.html),

      [clang-tidy](https://clang.llvm.org/extra/clang-tidy),

      [Cppcheck](http://cppcheck.sourceforge.net)

Getting started

---------------

BLT is easy to pull into an existing or new CMake-based project using a single CMake `include()` command:

  ```cmake

  include(path/to/blt/SetupBLT.cmake)

  ```

For more information, please check our [user documentation and tutorial](https://llnl-blt.readthedocs.io).

Questions

---------

Any questions can be sent to [email protected].  If you are an LLNL employee or collaborator, we have an

internal Microsoft Teams group chat named "BLT" as well.

Contributions

-------------

We welcome all kinds of contributions: new features, bug fixes, documentation edits.

To contribute, make a [pull request](https://github.com/LLNL/blt/pulls), with `develop`

as the destination branch. We use CI testing and your branch must pass these tests before

being merged.

For more information, see the [contributing guide](https://github.com/LLNL/blt/blob/develop/CONTRIBUTING.md).

Authors

-------

Thanks to all of BLT's [contributors](https://github.com/LLNL/blt/graphs/contributors).

Open-Source Projects using BLT

------------------------------

 * [Adiak](https://github.com/LLNL/Adiak): Library for collecting metadata from HPC application runs

 * [Ascent](https://github.com/Alpine-DAV/ascent): A flyweight in-situ visualization and analysis runtime for multi-physics HPC simulations

 * [Axom](https://github.com/LLNL/axom): Software infrastructure for the development of multi-physics applications and computational tools

 * [CARE](https://github.com/LLNL/CARE): CHAI and RAJA extensions

 * [CHAI](https://github.com/LLNL/CHAI): Copy-hiding array abstraction to automatically migrate data between memory spaces

 * [Conduit](https://github.com/LLNL/conduit): Simplified data exchange for HPC simulations

 * [Comb](https://github.com/LLNL/Comb): Communication performance benchmarking tool

 * [ExaCMech](https://github.com/LLNL/ExaCMech): GPU-friendly library of constitutive models

 * [Kripke](https://github.com/LLNL/Kripke): Simple, scalable, 3D Sn deterministic particle transport code

 * [RAJA](https://github.com/LLNL/raja): Performance portability layer for HPC

 * [SAMRAI](https://github.com/LLNL/SAMRAI): Structured Adaptive Mesh Refinement Application Infrastructure

 * [Serac](https://github.com/LLNL/serac): 3D implicit nonlinear thermal-structural simulation code

 * [Spheral](https://github.com/LLNL/spheral): Steerable parallel environment for performing coupled hydrodynamical & gravitational numerical simulations

 * [Umpire](https://github.com/LLNL/Umpire): Application-focused API for memory management on NUMA and GPU architectures

 * [VTK-h](https://github.com/Alpine-DAV/vtk-h): Scientific visualization algorithms for emerging processor architectures

 * [WCS](https://github.com/LLNL/wcs): Computational environment for simulating a whole cell model

If you would like to add a library to this list, please let us know via [email](mailto:[email protected])

or by submitting an [issue](https://github.com/LLNL/blt/issues) or [pull-request](https://github.com/LLNL/blt/pulls).

License

-------

BLT is licensed under the BSD 3-Clause license,

(BSD-3-Clause or https://opensource.org/licenses/BSD-3-Clause).

Copyrights and patents in the BLT project are retained by contributors.

No copyright assignment is required to contribute to BLT.

See [LICENSE](./LICENSE) for details.

Unlimited Open Source - BSD 3-clause Distribution

`LLNL-CODE-725085`  `OCEC-17-023`

SPDX usage

------------

Individual files contain SPDX tags instead of the full license text.

This enables machine processing of license information based on the SPDX

License Identifiers that are available here: https://spdx.org/licenses/

Files that are licensed as BSD 3-Clause contain the following

text in the license header:

    SPDX-License-Identifier: (BSD-3-Clause)

External Packages

-------------------

BLT bundles its external dependencies in thirdparty_builtin/.  These

packages are covered by various permissive licenses.  A summary listing

follows.  See the license included with each package for full details.

[//]: # (Note: The spaces at the end of each line below add line breaks)

PackageName: fruit  

PackageHomePage: https://sourceforge.net/projects/fortranxunit/  

PackageLicenseDeclared: BSD-3-Clause  

PackageName: gbenchmark  

PackageHomePage: https://github.com/google/benchmark  

PackageLicenseDeclared: Apache-2.0  

PackageName: gmock  

PackageHomePage: https://github.com/google/googlemock  

PackageLicenseDeclared: BSD-3-Clause  

PackageName: gtest  

PackageHomePage: https://github.com/google/googletest  

PackageLicenseDeclared: BSD-3-Clause  

PackageName: run-clang-format  

PackageHomePage: https://github.com/Sarcasm/run-clang-format  

PackageLicenseDeclared: MIT